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Emotion recognition for workforce analytics

  • US 10,496,947 B1
  • Filed: 08/28/2017
  • Issued: 12/03/2019
  • Est. Priority Date: 03/23/2015
  • Status: Active Grant
First Claim
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1. A computer-implemented method for workforce analytics, the method comprising:

  • receiving a video stream including a sequence of frames;

    detecting an individual in one or more of the frames;

    locating feature reference points of the individual;

    aligning a virtual face mesh to the individual in one or more of the frames based at least in part on the feature reference points;

    dynamically determining over the sequence of frames at least one deformation of the virtual face mesh;

    determining that the at least one deformation refers to at least one facial emotion selected from a plurality of reference facial emotions;

    identifying an emotional status for the individual, the emotional status determined based on the at least one facial emotion of the individual within the video stream; and

    generating at least one work quality parameter associated with the individual based on the at least one facial emotion and the emotional status.

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